During our discussion, the team each recapped some of their key standout examples explored during the podcast. Some of these were:
- A pregnancy belt designed to better protect pregnant women in cars is tested using a male crash test dummy – and was approved by EU standards.
- Stoves designed to replace a version producing poisonous gases in the home had a poor uptake because the creators failed to consider women’s circumstances and needs.
- Voice recognition software is much more likely to understand a man’s voice compared to a woman.
- Artificial intelligence currently under development (and leading the future of tech) have been created with a data bias backdrop meaning solutions may not serve a far-reaching user base equally.
These each opened up conversations about the potentially harmful impact of data bias, male default thinking, and how more generally, thought diversity could reduce the likelihood of a negative outcome for some users.
A key takeaway from the podcast for each of us, was how valuable diversity is because it can create better work that serves a greater number of users. In the work we do, this notion is essential – organisations include people with various experiences and characteristics, so we aim to develop solutions that work for everyone. With this in mind, the team at EC work to: